numpy.index() in Python

Python | numpy.isin() method

Last Updated : 27 Sep, 2019

With the help of numpy.isin() method, we can see that one array having values are checked in a different numpy array having different elements with different sizes.

Syntax : numpy.isin(target_array, list) Return : Return boolean array having same size as of target_array.

Example #1 : In this example we can see that by using numpy.isin() method, we are able to get the boolean array if elements are matched with the target array.

Python3 1=1

# import numpy
import numpy as np

# using numpy.isin() method
gfg1 = np.array([1, 2, 3, 4, 5])
lis = [1, 3, 5]
gfg = np.isin(gfg1, lis)

print(gfg)

Output :

[ True False True False True]

Example #2 :

Python3 1=1

# import numpy
import numpy as np

# using numpy.isin() method
gfg1 = np.array([[1, 3], [5, 7], [9, 11]])
lis = [1, 3, 11, 9]
gfg = np.isin(gfg1, lis)

print(gfg)

Output :

[[ True True] [False False] [ True True]]

numpy.index() in Python

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